The Object Oriented Approach to Designing Data Models
Abstract
The modern understanding of the object-oriented approach focuses on one of the main problems of programming – its automation. Many important and practically useful results have been achieved in this direction. Methods for creating object libraries and programming technologies have been developed, which greatly facilitate software development. This is especially evident in the development of WEB-applications. MVC technology has improved the efficiency of developing programs that link remote databases to client applications. However, this and similar technologies have one significant drawback, which is manifested in the fact that the time of obtaining data from their database often does not meet the requirements of both the developer and the user. For a long time, there have been ongoing discussions on this topic on the Internet. Various methods are proposed to speed up database calls, which, as a rule, complicate programming and are artificial methods that go beyond the basic technology, which are applicable to solving particular problems and require significant processing in each specific case.
The article assumes that the reason for these problems lies in the fact that in the programming community there is a solidified opinion, the essence of which is that the relational data model, which serves as the basis for most modern DBMS, has nothing to do with the object-oriented paradigm. Therefore, developers of programming technologies use an intermediate technology called object-relational mapping (ORM), which, in their opinion, should connect the non-object database and the object program that provides the client application with the database.
In fact, any way you organize your database systems is in the object-oriented paradigm.
Based on these premises, the article discusses the object method of developing data models. For this purpose, the properties of data models are formulated, which are necessary for them to be object and to ensure high performance of programs that implement data processing on their basis. The concept of an abstract algebraic machine is introduced, which is a two-base algebraic system. Examples are given that illustrate the use of an abstract algebraic machine for solving various problems. The possibility is considered and a method is proposed for constructing algebraic systems for complex data structures, namely, tuples, which can be considered as elements of such data aggregates as multidimensional matrices, relations, files.
In conclusion, it is concluded that the proposed approach allows one to prove the correspondence of various data models, which, in turn, makes it possible to effectively implement parallel processing of various databases on software and hardware complexes, the architecture of which is based on a multidimensional matrix computation model.
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